Info
Business Analytics Using R - A Practical Approach / / by Umesh R Hodeghatta, Umesha Nayak
| Business Analytics Using R - A Practical Approach / / by Umesh R Hodeghatta, Umesha Nayak |
| Autore | Hodeghatta Umesh R |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 280 p. 278 illus.) |
| Disciplina | 658.054 |
| Soggetto topico |
Big data
Computer programming Programming languages (Electronic computers) Data mining Information storage and retrieval Mathematical statistics R (Computer program language) Big Data Programming Techniques Programming Languages, Compilers, Interpreters Data Mining and Knowledge Discovery Information Storage and Retrieval Probability and Statistics in Computer Science |
| ISBN |
9781484225141
1484225147 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Overview of business analytics -- Introduction to R -- R for data analysis -- Introduction to descriptive analytics -- Business analytics process and data exploration -- Supervised machine learning : classification -- Unsupervised machine learning -- Simple linear regression -- Multiple linear regression -- Logistic regression -- Big data analysis : introduction and future trends. |
| Record Nr. | UNINA-9910157379203321 |
Hodeghatta Umesh R
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Practical Business Analytics Using R and Python : Solve Business Problems Using a Data-driven Approach / / by Umesh R. Hodeghatta, Umesha Nayak
| Practical Business Analytics Using R and Python : Solve Business Problems Using a Data-driven Approach / / by Umesh R. Hodeghatta, Umesha Nayak |
| Autore | Hodeghatta Umesh R. |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 |
| Descrizione fisica | 1 online resource (716 pages) |
| Disciplina | 658.4012028553 |
| Soggetto topico |
Decision making - Data processing
Business planning - Data processing R (Computer program language) Python (Computer program language) |
| ISBN |
9781484287545
1484287541 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section 1: Introduction to Analytics -- Chapter 1: Business Analytics Revolution -- Chapter 2: Foundations of Business Analytics -- Chapter 3: Structured Query Language (SQL) Analytics -- Chapter 4: Business Analytics Process -- Chapter 5: Exploratory Data Analysis (EDA) -- Chapter 6: Evaluating Analytics Model Performance -- Section II: Supervised Learning and Predictive Analytics -- Chapter 7: Simple Linear Regressions -- Chapter 8: Multiple Linear Regressions -- Chapter 9: Classification -- Chapter 10: Neural Networks -- Chapter 11: Logistic Regression -- Section III: Time Series Models -- Chapter 12: Time Series – Forecasting -- Section IV: Unsupervised Model and Text Mining -- Chapter 13: Cluster Analysis -- Chapter 14: Relationship Data Mining -- Chapter 15: Mining Text and Text Analytics -- Chapter 16: Big Data and Big Data Analytics -- Section V: Business Analytics Tools -- Chapter 17: R programming for Analytics -- Chapter 18: Python Programming for Analytics. |
| Record Nr. | UNINA-9910686772103321 |
|
Hodeghatta Umesh R.
|
||
| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||